26 to 44 of 44 Retrieval-Augmented Generation Jobs in Central London

production (using e.g. OpenAI, Anthropic, Google, etc.) Proficiency with LLM infra platforms (prompt management, logging/tracing, evals) Experience designing large-context LLM systems (RAG, knowledge graphs, hybrid search, memory) Building features end-to-end with TypeScript, React.js, and Node.js As a person, you... Are first and foremost a builder. ...

similar engineering languages is a must Experience working with APIs, cloud infrastructure and data processing. Previous experience within AI tech such as LLMs, RAG, embedding, vector databases is a big plus as is any previous experience within an AI, Data or B2B SaaS company. This is a great time ...

want to build production GenAI products (not prototypes) in a business with real scale and board-level visibility? Have you shipped LLM/RAG systems end-to-end and owned them in production? Are you ready to join a new AI team early and shape how AI is delivered across … services that directly improve customer experience and business performance. Key responsibilities Design, build and deploy end-to-end AI solutions Develop LLM solutions (e.g. RAG, workflow orchestration, evaluation) Build APIs/services integrating data sources and AI outputs Translate stakeholder needs into practical technical delivery plans Own delivery quality: reliability ...

line management and team leadership within a technical environment. Expertise in AI and Machine Learning, including agent-based AI, RAG (Retrieval Augmented Generation), multi-agent systems and conversational agents. Strong programming skills in Python, Java or .NET. Experience with GenAI and LLMs (e.g. ChatGPT ...

developing machine learning models across forecasting, classification, and anomaly detection use cases. Building and deploying GenAI and LLM-enabled solutions, including prompt-driven and RAG-based architectures. Running structured experimentation cycles, defining hypotheses, designing experiments, and evaluating results within governance constraints. Transitioning validated experiments into production-ready systems in collaboration … tooling such as MLflow, Weights & Biases, or Data Version Control. Experience developing or integrating LLM and GenAI applications, including prompt engineering and retrieval-augmented generation. Ability to work across disciplines and communicate technical findings clearly. A pragmatic mindset and good judgement about when machine learning ...

Foundry , Azure OpenAI , and Azure AI Document Intelligence for enterprise use cases (IDP, GenAI copilots, knowledge retrieval). Establish standards for RAG architectures (vectorization, indexing, chunking, grounding, citation policies) using Azure Search or vector-enabled data stores. Create architectural decision records (ADRs), guardrails, and reusable blueprints for solution … Analytics, Synapse Analytics, Azure DevOps . You should have hands-on experience in Deep knowledge of LLMs (prompting, system prompts, grounding, evaluation), embeddings , and RAG design (index selection, chunking strategies, reranking, citations). Strong design of secure API and event-driven integration patterns; familiarity with microservices and domain-driven design ...

RAG & Agentic Consulting Engineer Insurance Sector Remote-first Occasional travel client offices and two trips to London HQ per month Role Overview Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence. This … consulting engineering role. Candidates should bring: Experience in software engineering, AI engineering or applied data engineering Strong hands-on experience with LLMs, embeddings, RAG pipelines and vector databases Experience designing or implementing multi-agent systems or tool-calling frameworks Strong Python skills with experience building production-grade, regulated systems Experience ...

that enhance global sales workflows. Build scalable backend services and full-stack applications for internal teams. Architect, implement, and optimize LLM orchestration frameworks and RAG-based solutions. Collaborate with cross-functional teams to define requirements and deliver innovative tools. Ensure reliability, scalability, and performance of distributed systems handling massive datasets. … workflows . Strong proficiency in Angular (primary frontend); React optional. Hands-on experience with LangChain, LangGraph, and Indexify , with a deep understanding of RAG architectures . Expert-level SQL and experience with BigQuery and vector databases (Pinecone, Weaviate, Vertex AI Search). Proven track record in MLOps and deploying ...

engineer with strong software engineering fundamentals? Have you deployed AI models into production—not just trained them? Want to work on agentic systems, RAG pipelines, and LLM-powered tools? We're working with a high-growth GenAI consultancy building real-world, production-grade AI applications. With a team of 50+ … teams and mentoring other engineers. Key Responsibilities Build and deploy scalable AI tools using Python and LLM APIs Design end-to-end agentic and RAG-based solutions for enterprise use Own delivery from proof-of-concept through to production Work with cloud-native architectures (e.g. AWS Lambda, Step Functions) Lead ...

want to shape how LLMs are deployed at scale in a real business? Have you built RAG or agentic systems that moved beyond experimentation? Are you motivated by measurable customer and commercial impact, not demos? A private-equity-backed consumer services business is scaling its Data Science & AI capability … year transformation. Following an award-winning data programme, the company now has an established AI function and is investing further in LLM-powered assistants, RAG pipelines, voice/chat intelligence and early agentic workflows across both customer-facing and internal products. This Senior AI Engineer role is a hands ...

Responsibilities • Build AI PoCs and MVPs in fast innovation cycles (2–6 weeks) • Develop GenAI solutions using LLMs, SLMs and vision models • Implement RAG pipelines and agentic workflows • Build lightweight APIs using Flask or Django • Deploy solutions using serverless and cloud-native services • Collaborate in client workshops, demos and innovation … Salary: £70k–£85k base (flexible for strong profiles) • Working model: Hybrid, 3 days per week in London office • Tech stack: Python/JavaScript, GenAI (RAG, LangChain, LlamaIndex), agentic frameworks, Azure/AWS • Visa: No sponsorship available Interested? Please apply below. ...

depth knowledge in implementing solutions using AWS. Deep understanding of AI/ML solutions implementation, with emphasis on LLM applications and retrieval-augmented generation. Practical cloud-native experience, specifically with AWS (compute, storage, networking, IAM, KMS, observability). Experience with RAG-based semantic search ...

build a predictive AI platform that surfaces opportunities before clients even know they exist? Have you led end-to-end delivery of LLM/RAG/agentic systems in production? Ready to become the technical owner of an intelligence engine at an early-stage startup? A high-growth AI/… technical scope and the chance to define the product from the ground up. The Lead AI Engineer will architect and productionise advanced LLM/RAG systems, design agentic workflows, own evaluations and guardrails, and integrate AI modules into a scalable enterprise-grade platform. You’ll collaborate with domain experts from ...

LLMs) integrate cleanly into the existing enterprise estate (which currently includes Azure and Snowflake ). Model & Tooling Evaluation: Compare model families, implementation patterns (e.g., RAG patterns ), and platforms (Azure native and broader market options). Provide clear pros and cons to explain trade-offs and recommend the right fit. Integration … designing and implementing end-to-end AI solutions in a commercial environment (not limited to just LLMs). LLM Focus: Solid understanding of RAG patterns, model orchestration, prompt design, and guardrails . Platform Flexibility: Experience evaluating and implementing model families across Azure and non-Azure environments. Broad cloud knowledge across ...

numi is partnered with a high-growth, seed-funded AI startup building the next generation of autonomous AI for Client Services. This isn't another LLM wrapper. Our client is designing multi-agent systems that genuinely operate inside complex enterprise organizations, understand rich context, and take real-world … backend/systems engineering experience (Python/Django/Langchain Agentic stack) with a recent focus on LLM application layers (e.g., agentic workflows, complex RAG, React). A proven track record of designing highly scalable architectures and integrating external APIs. Startup DNA: You are a builder who thrives in fast ...

Hugging Face Transformers/PEFT, tokenisers, spaCy or similar) Experience shipping NLP systems: prompt engineering, fine-tuning (e.g., LoRA/PEFT), vector search, and RAG-based services Great knowledge of NLP algorithms: tokenisation, embeddings, attention, language modelling, text classification/generation, and information retrieval Desirable Skills ...

systems that can handle millions of users and complex AI workloads. Solve the hardest problems in applied AI: from model fine-tuning and novel RAG techniques to high-throughput, low-latency data infrastructure. What You'll Have A proven track record: You have been a CTO, Founder (especially from … startup. Expert, "hands-on" skills in TypeScript and building complex distributed systems. Deep expertise in architecting and deploying complex AI/ML systems (LLMs, RAG, data platforms). You've likely done this before , and are raring to do it again, faster, better, and with a world-class team. ...

with design systems to create accessible, scalable, reusable UI components Collaborate with designers to test, refine, and elevate user journeys Bring AI capabilities (LLMs, RAG, embeddings) to life in a way that feels natural and user-first Influence product direction by demonstrating what's possible through UX-led prototypes Essential … feature end-to-end , from concept sketches to polished UI Nice to Have Experience with native design patterns (iOS/Android) Familiarity with RAG, embeddings, vector databases Python (for small prototyping tasks) Design system experience (creation or contribution) Experience designing media, content, or large-scale consumer platforms Your ideas could ...

RAG & Agentic Consulting Engineer Insurance Sector Remote-first Occasional travel client offices and two trips to London HQ per month Role Overview Lead the design and delivery of AI-native transformation initiatives for insurance clients, spanning agentic systems, retrieval architectures, semantic layers and decision intelligence click apply ...